Data Diagnosis Report

df1

2023-11-15

Report Overview

This report was created for an overview quality diagnosis of df1 data. It was created for the purpose of judging the validity of variables before conducting EDA.

Contents

Overview

Data Structures

Table 1: Data structures and types
division metrics value
size observations 1,796
size variables 114
size values 204,744
size memory size (MB) 2
duplicated duplicate observation 0
missing complete observation 0
missing missing observation 1,796
missing missing variables 57
missing missing values 51,069
division metrics value
data type numerics 54
data type integers 0
data type factors/ordered 32
data type characters 28
data type Dates 0
data type POSIXcts 0
data type others 0

Job Informations

Table 2: Job informations
division metrics value
dataset dataset df1
dataset dataset type tbl_df
job samples 1,796 / 1,796 (100%)
job created 2023-11-15 19:59:04.407944
job created by dlookr

Warnings

Table 3: Summary of warnings
checks judgements removes
20 110 3
Table 4: Warnings in dataset and variables
warnings status recommand
REOP_THG5 has 1,773 (98.7%) missing values missing judgement
REOP_THG4 has 1,765 (98.3%) missing values missing judgement
REOP_THG3 has 1,745 (97.2%) missing values missing judgement
LVOT…101 has 1,700 (94.7%) missing values missing judgement
AUFN_CRTJN has 1,634 (91%) missing values missing judgement
LVDs (cm)…100 has 1,609 (89.6%) missing values missing judgement
MORTALITÄT(TAGE) has 1,500 (83.5%) missing values missing judgement
PAP (mmHg+ZVD)…102 has 1,468 (81.7%) missing values missing judgement
PHT…110 has 1,377 (76.7%) missing values missing judgement
LVDs (cm)…76 has 1,368 (76.2%) missing values missing judgement
LVDd (cm)…99 has 1,367 (76.1%) missing values missing judgement
MPG (mmHg) has 1,307 (72.8%) missing values missing judgement
Vmax (m/s)…105 has 1,285 (71.5%) missing values missing judgement
LVDs has 1,242 (69.2%) missing values missing judgement
IVSs (cm) has 1,238 (68.9%) missing values missing judgement
PAP (mmHg+ZVD)…78 has 1,178 (65.6%) missing values missing judgement
PHT…86 has 1,154 (64.3%) missing values missing judgement
EF (%) has 1,150 (64%) missing values missing judgement
LVOT…77 has 1,148 (63.9%) missing values missing judgement
Signs of SVD has 1,128 (62.8%) missing values missing judgement
IVSd (cm) has 1,081 (60.2%) missing values missing judgement
LVDd (cm)…75 has 1,068 (59.5%) missing values missing judgement
Table 4: Warnings in dataset and variables (continued)
warnings status recommand
23 SELBST_SORGEN has 1,058 (58.9%) missing values missing judgement
24 ANGST has 1,058 (58.9%) missing values missing judgement
25 ALLTAG has 1,057 (58.9%) missing values missing judgement
26 SCHMERZEN has 1,056 (58.8%) missing values missing judgement
27 MOBILITÄT has 1,055 (58.7%) missing values missing judgement
28 AI has 1,050 (58.5%) missing values missing judgement
29 AKFläche (cm2) has 1,013 (56.4%) missing values missing judgement
30 DAYS_FU has 988 (55%) missing values missing judgement
31 MONTHS_FU has 988 (55%) missing values missing judgement
32 YEARS_FU has 988 (55%) missing values missing judgement
33 MAVG (MPG) has 964 (53.7%) missing values missing judgement
34 Vmax (m/s)…82 has 943 (52.5%) missing values missing judgement
35 AKFläche has 922 (51.3%) missing values missing judgement
36 LVOT…90 has 837 (46.6%) missing values missing judgement
37 AKI…84 has 816 (45.4%) missing values missing judgement
38 IVSd…92 has 807 (44.9%) missing values missing judgement
39 LVDd has 779 (43.4%) missing values missing judgement
40 PAP has 711 (39.6%) missing values missing judgement
41 PHT…97 has 705 (39.3%) missing values missing judgement
42 Vmax has 438 (24.4%) missing values missing judgement
43 LVEF…87 has 427 (23.8%) missing values missing judgement
44 LVEF…74 has 396 (22%) missing values missing judgement
45 MAVG has 395 (22%) missing values missing judgement
46 AKI…96 has 376 (20.9%) missing values missing judgement
47 AK_ANN has 267 (14.9%) missing values missing judgement
48 UPSIZING has 267 (14.9%) missing values missing judgement
49 E_DEFI has 107 (6%) missing values missing judgement
50 E_SM has 99 (5.5%) missing values missing judgement
Table 4: Warnings in dataset and variables (continued)
warnings status recommand
51 A_PUHYP has 70 (3.9%) missing values missing judgement
52 SMTRAEGER has 67 (3.7%) missing values missing judgement
53 DEFITRAEG has 66 (3.7%) missing values missing judgement
54 A_PAVK_E has 8 (0.4%) missing values missing judgement
55 SM_INTRAOP has 3 (0.2%) missing values missing judgement
56 Bikuspid? has 2 (0.1%) missing values missing judgement
57 BMI has 1 (0.1%) missing values missing judgement
58 Item has high(1.00) cardinality, Maybe identifier cardinality check
59 FALLNR has high(1.00) cardinality, Maybe identifier cardinality check
60 RELAKEY has high(1.00) cardinality, Maybe identifier cardinality check
61 AK_MOD has constant value “116” cardinality remove
62 AK_MOD_BEZ has constant value “SJM-Epic Supra” cardinality remove
63 AK_PROZ has constant value “5-351.02” cardinality remove
64 BG_HRHY_R has a low cardinality. 4 (0.2%) distinct values cardinality judgement
65 AK_DURCHM has a low cardinality. 5 (0.3%) distinct values cardinality judgement
66 REOP_THG5 has a low cardinality. 5 (0.3%) distinct values cardinality judgement
67 Bikuspid? has a low cardinality. 4 (0.2%) distinct values cardinality judgement
68 Bikuspid? has 1,360 (75.72%) zeros zero check
69 A_HYPSYS has 1,327 (73.89%) zeros zero check
70 YEARS_FU has 167 (9.3%) zeros zero check
71 STS has 72 (4.01%) zeros zero check
72 A_HYPTO_R has 66 (3.67%) zeros zero check
73 BG_HRHY_R has 64 (3.56%) zeros zero check
74 BG_DIABET has 62 (3.45%) zeros zero check
75 E_RHYTHM has 56 (3.12%) zeros zero check
76 E_RHYTH has 56 (3.12%) zeros zero check
77 BYPASSZEIT has 38 (2.12%) zeros zero check
78 MONTHS_FU has 30 (1.67%) zeros zero check
Table 4: Warnings in dataset and variables (continued)
warnings status recommand
79 AORTENKLEMMZEIT has 19 (1.06%) zeros zero check
80 MORTALITÄT(TAGE) has 10 (0.56%) zeros zero check
81 AKFläche has 3 (0.17%) zeros zero check
82 GROESSE has 2 (0.11%) zeros zero check
83 GEWICHT has 2 (0.11%) zeros zero check
84 BMI has 1 (0.06%) zeros zero check
85 BG_HRHY_R has 506 (28.17%) outliers outlier judgement
86 E_RHYTHM has 487 (27.12%) outliers outlier judgement
87 E_RHYTH has 487 (27.12%) outliers outlier judgement
88 Bikuspid? has 434 (24.16%) outliers outlier judgement
89 A_HYPTO_R has 347 (19.32%) outliers outlier judgement
90 STS has 155 (8.63%) outliers outlier judgement
91 BYPASSZEIT has 96 (5.35%) outliers outlier judgement
92 A_HYPSYS has 93 (5.18%) outliers outlier judgement
93 OP_ZEIT has 79 (4.4%) outliers outlier judgement
94 AORTENKLEMMZEIT has 69 (3.84%) outliers outlier judgement
95 LVOT…90 has 63 (3.51%) outliers outlier judgement
96 MAVG has 60 (3.34%) outliers outlier judgement
97 Vmax (m/s)…105 has 52 (2.9%) outliers outlier judgement
98 AKFläche (cm2) has 48 (2.67%) outliers outlier judgement
99 IVSd…92 has 44 (2.45%) outliers outlier judgement
100 LVDs (cm)…100 has 44 (2.45%) outliers outlier judgement
101 Vmax has 43 (2.39%) outliers outlier judgement
102 BMI has 33 (1.84%) outliers outlier judgement
103 GEWICHT has 31 (1.73%) outliers outlier judgement
104 MPG (mmHg) has 30 (1.67%) outliers outlier judgement
105 AKFläche has 27 (1.5%) outliers outlier judgement
106 PAP (mmHg+ZVD)…78 has 26 (1.45%) outliers outlier judgement
Table 4: Warnings in dataset and variables (continued)
warnings status recommand
107 OP_ENDE has 25 (1.39%) outliers outlier judgement
108 AK_DURCHM has 24 (1.34%) outliers outlier judgement
109 GROESSE has 23 (1.28%) outliers outlier judgement
110 LVOT…77 has 23 (1.28%) outliers outlier judgement
111 IVSs (cm) has 23 (1.28%) outliers outlier judgement
112 OP_ANFANG has 20 (1.11%) outliers outlier judgement
113 ALTER_OP has 18 (1%) outliers outlier judgement
114 EF (%) has 18 (1%) outliers outlier judgement
115 LVDd (cm)…75 has 17 (0.95%) outliers outlier judgement
116 MORTALITÄT(TAGE) has 16 (0.89%) outliers outlier judgement
117 LVOT…101 has 16 (0.89%) outliers outlier judgement
118 BG_DIABET has 15 (0.84%) outliers outlier judgement
119 Vmax (m/s)…82 has 14 (0.78%) outliers outlier judgement
120 LVDd has 14 (0.78%) outliers outlier judgement
121 PAP has 14 (0.78%) outliers outlier judgement
122 LVEF…74 has 12 (0.67%) outliers outlier judgement
123 IVSd (cm) has 12 (0.67%) outliers outlier judgement
124 LVDs has 11 (0.61%) outliers outlier judgement
125 PAP (mmHg+ZVD)…102 has 11 (0.61%) outliers outlier judgement
126 LVDd (cm)…99 has 10 (0.56%) outliers outlier judgement
127 REOP_THG3 has 9 (0.5%) outliers outlier judgement
128 LVDs (cm)…76 has 9 (0.5%) outliers outlier judgement
129 AK_ANN has 7 (0.39%) outliers outlier judgement
130 LVEF…87 has 7 (0.39%) outliers outlier judgement
131 REOP_THG5 has 5 (0.28%) outliers outlier judgement
132 MAVG (MPG) has 5 (0.28%) outliers outlier judgement
133 REOP_THG4 has 4 (0.22%) outliers outlier judgement

Variables

Table 5: List of variables diagnosis
variables types missing cardinality zero minus outlier
Item factor identifier
GEBURT character > high
ALTER_OP numeric X
VERSTORBEN factor
STERBEDAT character
MORTALITÄT(TAGE) numeric X X X
LAST_FU character
GESCHLECHT factor
GROESSE numeric X X
GEWICHT numeric X X
BMI numeric X X X
FALLNR numeric identifier
KLSNYHAE factor
BG_DIABET numeric X X
A_PUHYP factor X
A_HYPSYS numeric X X
A_HYPTO_R numeric X X
KOROANBEF factor
AB_VHF_KL factor
BG_HRHY_R numeric < low X X
A_PAVK_E factor X
ENDOKARD factor
PRENIETH factor
SMTRAEGER factor X
DEFITRAEG factor X
Table 5: List of variables diagnosis (continued)
variables types missing cardinality zero minus outlier
AUFN_CRTJN factor X
STS numeric X X
RELAKEY character identifier
OP_DATUM character > high
OP_ANFANG numeric X
OP_ENDE numeric X
OP_ZEIT numeric X
BYPASSZEIT numeric X X
AORTENKLEMMZEIT numeric X X
DRINGLICH factor
AK_BIKUSP factor
AK_MOD numeric constant
AK_MOD_BEZ character constant
AK_DURCHM numeric < low X
AK_ANN numeric X X
UPSIZING factor X
OPERATEUR character
AK_PROZ character constant
THG_NR character
EINGRIFF character
SM_INTRAOP factor X
E_RHYTHM numeric X X
E_SM factor X
E_DEFI factor X
E_RHYTH numeric X X
MOBILITÄT factor X
SELBST_SORGEN factor X
ALLTAG factor X
Table 5: List of variables diagnosis (continued)
variables types missing cardinality zero minus outlier
SCHMERZEN factor X
ANGST factor X
LQ character
REOP? factor
REOP_RELA character
REOP_DAT character
REOP_THGNR character
REOP_EINGR character
REOP_DAT2 character
REOP_THG2 character
REOP_EING2 character
REOP_DAT3 character
REOP_THG3 numeric X X
REOP_EING3 character
REOP_DAT4 character
REOP_THG4 numeric X X
REOP_EING4 character
REOP_DAT5 character
REOP_THG5 numeric X < low X
REOP_EING5 character
LVEF…74 numeric X X
LVDd (cm)…75 numeric X X
LVDs (cm)…76 numeric X X
LVOT…77 numeric X X
PAP (mmHg+ZVD)…78 numeric X X
IVSd (cm) numeric X X
IVSs (cm) numeric X X
MAVG (MPG) numeric X X
Table 5: List of variables diagnosis (continued)
variables types missing cardinality zero minus outlier
Vmax (m/s)…82 numeric X X
AKFläche (cm2) numeric X X
AKI…84 factor X
Bikuspid? numeric X < low X X
PHT…86 factor X
LVEF…87 numeric X X
LVDd numeric X X
LVDs numeric X X
LVOT…90 numeric X X
PAP numeric X X
IVSd…92 numeric X X
MAVG numeric X X
Vmax numeric X X
AKFläche numeric X X X
AKI…96 factor X
PHT…97 factor X
EF (%) numeric X X
LVDd (cm)…99 numeric X X
LVDs (cm)…100 numeric X X
LVOT…101 numeric X X
PAP (mmHg+ZVD)…102 numeric X X
IVSd…103 character
MPG (mmHg) numeric X X
Vmax (m/s)…105 numeric X X
AÖF character
Signs of SVD factor X
SVD (VARC3) character
AI factor X
Table 5: List of variables diagnosis (continued)
variables types missing cardinality zero minus outlier
PHT…110 factor X
DATUM character
DAYS_FU numeric X
MONTHS_FU numeric X X
YEARS_FU numeric X X

Missing Values

List of Missing Values

Table 6: List of variables including missing values
variables missing_count missing (%) status recommand
REOP_THG5 1,773 98.7% Remove Remove Variable
REOP_THG4 1,765 98.3% Remove Remove Variable
REOP_THG3 1,745 97.2% Remove Remove Variable
LVOT…101 1,700 94.7% Remove Remove Variable
AUFN_CRTJN 1,634 91% Remove Remove Variable
LVDs (cm)…100 1,609 89.6% Remove Remove Variable
MORTALITÄT(TAGE) 1,500 83.5% Remove Remove Variable
PAP (mmHg+ZVD)…102 1,468 81.7% Remove Remove Variable
PHT…110 1,377 76.7% Remove Remove Variable
LVDs (cm)…76 1,368 76.2% Remove Remove Variable
LVDd (cm)…99 1,367 76.1% Remove Remove Variable
MPG (mmHg) 1,307 72.8% Remove Remove Variable
Vmax (m/s)…105 1,285 71.5% Remove Remove Variable
LVDs 1,242 69.2% Remove Remove Variable
IVSs (cm) 1,238 68.9% Remove Remove Variable
PAP (mmHg+ZVD)…78 1,178 65.6% Remove Remove Variable
PHT…86 1,154 64.3% Remove Remove Variable
EF (%) 1,150 64% Remove Remove Variable
LVOT…77 1,148 63.9% Remove Remove Variable
Signs of SVD 1,128 62.8% Remove Remove Variable
IVSd (cm) 1,081 60.2% Remove Remove Variable
LVDd (cm)…75 1,068 59.5% Remove Remove Variable
SELBST_SORGEN 1,058 58.9% Remove Remove Variable
Table 6: List of variables including missing values (continued)
variables missing_count missing (%) status recommand
ANGST 1,058 58.9% Remove Remove Variable
ALLTAG 1,057 58.9% Remove Remove Variable
SCHMERZEN 1,056 58.8% Remove Remove Variable
MOBILITÄT 1,055 58.7% Remove Remove Variable
AI 1,050 58.5% Remove Remove Variable
AKFläche (cm2) 1,013 56.4% Remove Remove Variable
DAYS_FU 988 55% Remove Remove Variable
MONTHS_FU 988 55% Remove Remove Variable
YEARS_FU 988 55% Remove Remove Variable
MAVG (MPG) 964 53.7% Remove Remove Variable
Vmax (m/s)…82 943 52.5% Remove Remove Variable
AKFläche 922 51.3% Remove Remove Variable
LVOT…90 837 46.6% Bad Model based Imputation
AKI…84 816 45.4% Bad Model based Imputation
IVSd…92 807 44.9% Bad Model based Imputation
LVDd 779 43.4% Bad Model based Imputation
PAP 711 39.6% Bad Model based Imputation
PHT…97 705 39.3% Bad Model based Imputation
Vmax 438 24.4% Bad Model based Imputation
LVEF…87 427 23.8% Bad Model based Imputation
LVEF…74 396 22% Bad Model based Imputation
MAVG 395 22% Bad Model based Imputation
AKI…96 376 20.9% Bad Model based Imputation
AK_ANN 267 14.9% NotBad Model based Imputation
UPSIZING 267 14.9% NotBad Model based Imputation
E_DEFI 107 6% OK Delete or Imputation
Table 6: List of variables including missing values (continued)
variables missing_count missing (%) status recommand
E_SM 99 5.5% OK Delete or Imputation
A_PUHYP 70 3.9% Good Delete or Imputation
SMTRAEGER 67 3.7% Good Delete or Imputation
DEFITRAEG 66 3.7% Good Delete or Imputation
A_PAVK_E 8 0.4% Good Delete or Imputation
SM_INTRAOP 3 0.2% Good Delete or Imputation
Bikuspid? 2 0.1% Good Delete or Imputation
BMI 1 0.1% Good Delete or Imputation

Visualization


Unique Values

Categorical Vaiables

Variables where the proportion of unique data is more than 0.5 or unique is 1.
Table 7: Detail warning categorical cardinality
variables types unique unique (%) status recommand
Item factor 1,796 100% identifier Use as ID
GEBURT character 1,673 93.2% high cardinality Judgment
RELAKEY character 1,796 100% identifier Use as ID
OP_DATUM character 1,357 75.6% high cardinality Judgment
AK_MOD_BEZ character 1 0.1% constant Remove Variable
AK_PROZ character 1 0.1% constant Remove Variable

Numerical Vaiables

Variables where the unique cases is less than 5 or unique is 1.
Table 8: Detail warning numerical cardinality
variables types unique unique (%) status recommand
BG_HRHY_R numeric 4 0.2% low cardinality Judgment
AK_MOD numeric 1 0.1% constant Remove Variable
AK_DURCHM numeric 5 0.3% low cardinality Judgment
REOP_THG5 numeric 5 0.3% low cardinality Judgment
Bikuspid? numeric 4 0.2% low cardinality Judgment

Categorical Variable Diagnosis

Top Ranks

Table 9: Top 10 levels of categorical variables
variables levels freq ratio (%)
AB_VHF_KL 0 1,767 98.4
AB_VHF_KL 1 10 0.6
AB_VHF_KL 2 10 0.6
AB_VHF_KL 3 9 0.5
AI 0 647 36.0
AI 1 63 3.5
AI 2 24 1.3
AI 3 12 0.7
AI Missing 1,050 58.5
AKI…84 1 355 19.8
AKI…84 2 231 12.9
AKI…84 0 217 12.1
AKI…84 3 175 9.7
AKI…84 4 2 0.1
AKI…84 Missing 816 45.4
AKI…96 0 1,312 73.1
AKI…96 1 101 5.6
AKI…96 2 6 0.3
AKI…96 3 1 0.1
AKI…96 Missing 376 20.9
AK_BIKUSP 0 1,367 76.1
AK_BIKUSP 1 428 23.8
AK_BIKUSP 2 1 0.1
AK_MOD_BEZ SJM-Epic Supra 1,796 100.0
AK_PROZ 5-351.02 1,796 100.0
Table 9: Top 10 levels of categorical variables (continued)
variables levels freq ratio (%)
26 ALLTAG 1 381 21.2
27 ALLTAG 2 177 9.9
28 ALLTAG 3 114 6.3
29 ALLTAG 4 50 2.8
30 ALLTAG 5 17 0.9
31 ALLTAG Missing 1,057 58.9
32 ANGST 1 496 27.6
33 ANGST 2 157 8.7
34 ANGST 3 63 3.5
35 ANGST 4 17 0.9
36 ANGST 5 5 0.3
37 ANGST Missing 1,058 58.9
38 AUFN_CRTJN 0 160 8.9
39 AUFN_CRTJN 1 2 0.1
40 AUFN_CRTJN Missing 1,634 91.0
41 A_PAVK_E 0 1,580 88.0
42 A_PAVK_E 1 208 11.6
43 A_PAVK_E Missing 8 0.4
44 A_PUHYP 0 1,308 72.8
45 A_PUHYP 1 418 23.3
46 A_PUHYP Missing 70 3.9
47 AÖF 1,683 93.7
48 AÖF 1.9 7 0.4
49 AÖF 2 7 0.4
50 AÖF 2.1 5 0.3
51 AÖF 0.8 4 0.2
52 AÖF 1,9 4 0.2
53 AÖF 1.6 4 0.2
54 AÖF 1,7 3 0.2
Table 9: Top 10 levels of categorical variables (continued)
variables levels freq ratio (%)
55 AÖF 1.8 3 0.2
56 AÖF 2,2 3 0.2
57 AÖF Other levles 73 4.1
58 DATUM 988 55.0
59 DATUM 09.09.2021 7 0.4
60 DATUM 21.09.2021 7 0.4
61 DATUM 09.07.2021 6 0.3
62 DATUM 01.03.2021 5 0.3
63 DATUM 06.07.2021 5 0.3
64 DATUM 06.08.2021 5 0.3
65 DATUM 07.10.2021 5 0.3
66 DATUM 08.07.2021 5 0.3
67 DATUM 13.07.2021 5 0.3
68 DATUM Other levles 758 42.2
69 DEFITRAEG 0 1,703 94.8
70 DEFITRAEG 1 27 1.5
71 DEFITRAEG Missing 66 3.7
72 DRINGLICH 1 1,309 72.9
73 DRINGLICH 2 365 20.3
74 DRINGLICH 3 104 5.8
75 DRINGLICH 4 15 0.8
76 DRINGLICH 0 3 0.2
77 EINGRIFF Aortenklappe Xenotransplantat: mediane Sternotomie 517 28.8
78 EINGRIFF Bypass 1-fach mit Aortenklappenersatz mit HLM und mediane Sternotomie 240 13.4
79 EINGRIFF Aortenklappe Xenotransplantat: minimalinvasiv 238 13.3
80 EINGRIFF Bypass 2-fach mit Aortenklappenersatz mit HLM und mediane Sternotomie 169 9.4
81 EINGRIFF Ersatz der Aorta ascendens suprakoronar mit Aortenklappenersatz mit HLM 137 7.6
82 EINGRIFF Bypass 3-fach mit Aortenklappenersatz mit HLM und mediane Sternotomie 92 5.1
83 EINGRIFF Aorten- ,Mitral- und Trikuspidalklappe: mediane Sternotomie 79 4.4
Table 9: Top 10 levels of categorical variables (continued)
variables levels freq ratio (%)
84 EINGRIFF AKE + MKE: mediane Sternotomie 57 3.2
85 EINGRIFF AKE + MKR: mediane Sternotomie 53 3.0
86 EINGRIFF Ersatz des Aortenbogens mit HLM 43 2.4
87 EINGRIFF Other levles 171 9.5
88 ENDOKARD 0 1,646 91.6
89 ENDOKARD 1 150 8.4
90 E_DEFI 0 1,674 93.2
91 E_DEFI 1 15 0.8
92 E_DEFI Missing 107 6.0
93 E_SM 0 1,601 89.1
94 E_SM 1 96 5.3
95 E_SM Missing 99 5.5
96 GEBURT 12.08.1940 4 0.2
97 GEBURT 06.02.1938 3 0.2
98 GEBURT 06.11.1940 3 0.2
99 GEBURT 07.03.1953 3 0.2
100 GEBURT 10.01.1937 3 0.2
101 GEBURT 11.02.1952 3 0.2
102 GEBURT 18.03.1938 3 0.2
103 GEBURT 24.12.1933 3 0.2
104 GEBURT 31.12.1940 3 0.2
105 GEBURT 01.01.1940 2 0.1
106 GEBURT Other levles 1,766 98.3
107 GESCHLECHT M 1,423 79.2
108 GESCHLECHT W 373 20.8
109 IVSd…103 1,352 75.3
110 IVSd…103 1.2 61 3.4
111 IVSd…103 1.3 52 2.9
112 IVSd…103 1.4 48 2.7
Table 9: Top 10 levels of categorical variables (continued)
variables levels freq ratio (%)
113 IVSd…103 1.1 34 1.9
114 IVSd…103 1.5 33 1.8
115 IVSd…103 1,3 25 1.4
116 IVSd…103 1 24 1.3
117 IVSd…103 1,2 21 1.2
118 IVSd…103 1,1 20 1.1
119 IVSd…103 Other levles 126 7.0
120 Item 10 1 0.1
121 Item 263 1 0.1
122 Item 265 1 0.1
123 Item 267 1 0.1
124 Item 268 1 0.1
125 Item 269 1 0.1
126 Item 270 1 0.1
127 Item 271 1 0.1
128 Item 277 1 0.1
129 Item 279 1 0.1
130 Item Other levles 1,786 99.4
131 KLSNYHAE 3 1,010 56.2
132 KLSNYHAE 2 424 23.6
133 KLSNYHAE 4 161 9.0
134 KLSNYHAE 1 134 7.5
135 KLSNYHAE 0 67 3.7
136 KOROANBEF 1 853 47.5
137 KOROANBEF 2 308 17.1
138 KOROANBEF 4 307 17.1
139 KOROANBEF 3 256 14.3
140 KOROANBEF 0 72 4.0
141 LAST_FU 26.07.2021 218 12.1
Table 9: Top 10 levels of categorical variables (continued)
variables levels freq ratio (%)
142 LAST_FU 113 6.3
143 LAST_FU 24.02.2022 53 3.0
144 LAST_FU 23.02.2022 41 2.3
145 LAST_FU 01.08.2021 39 2.2
146 LAST_FU 02.08.2021 38 2.1
147 LAST_FU 04.08.2021 32 1.8
148 LAST_FU 03.08.2021 28 1.6
149 LAST_FU 30.07.2021 27 1.5
150 LAST_FU 05.08.2021 22 1.2
151 LAST_FU Other levles 1,185 66.0
152 LQ 1,065 59.3
153 LQ 80 90 5.0
154 LQ 70 88 4.9
155 LQ 90 87 4.8
156 LQ 50 68 3.8
157 LQ 75 62 3.5
158 LQ 85 54 3.0
159 LQ 95 44 2.4
160 LQ 100 42 2.3
161 LQ 60 37 2.1
162 LQ Other levles 159 8.9
163 MOBILITÄT 1 386 21.5
164 MOBILITÄT 2 156 8.7
165 MOBILITÄT 3 128 7.1
166 MOBILITÄT 4 58 3.2
167 MOBILITÄT 5 13 0.7
168 MOBILITÄT Missing 1,055 58.7
169 OPERATEUR Prof. Dr. med. T. Doenst 384 21.4
170 OPERATEUR OA Dr. med. M. Diab 324 18.0
Table 9: Top 10 levels of categorical variables (continued)
variables levels freq ratio (%)
171 OPERATEUR PD Dr. med. M. Richter 316 17.6
172 OPERATEUR Ltd. OÄ Dr. med. G. Färber 209 11.6
173 OPERATEUR OA Dr. med. T. Sandhaus 175 9.7
174 OPERATEUR OA Dr. med. S. Bargenda 72 4.0
175 OPERATEUR OA Dr. med. M. Breuer 61 3.4
176 OPERATEUR OA Dr. med. H. Kirov 58 3.2
177 OPERATEUR Dr. med. C. Struening 56 3.1
178 OPERATEUR Dr. med. W. Bothe 55 3.1
179 OPERATEUR Other levles 86 4.8
180 OP_DATUM 29.01.2013 5 0.3
181 OP_DATUM 10.04.2015 4 0.2
182 OP_DATUM 13.10.2016 4 0.2
183 OP_DATUM 20.05.2016 4 0.2
184 OP_DATUM 01.03.2016 3 0.2
185 OP_DATUM 02.06.2014 3 0.2
186 OP_DATUM 03.04.2013 3 0.2
187 OP_DATUM 03.06.2014 3 0.2
188 OP_DATUM 03.07.2012 3 0.2
189 OP_DATUM 04.10.2018 3 0.2
190 OP_DATUM Other levles 1,761 98.1
191 PHT…110 0 265 14.8
192 PHT…110 1 154 8.6
193 PHT…110 Missing 1,377 76.7
194 PHT…86 0 401 22.3
195 PHT…86 1 241 13.4
196 PHT…86 Missing 1,154 64.3
197 PHT…97 0 894 49.8
198 PHT…97 1 197 11.0
199 PHT…97 Missing 705 39.3
Table 9: Top 10 levels of categorical variables (continued)
variables levels freq ratio (%)
200 PRENIETH 1 1,672 93.1
201 PRENIETH 0 71 4.0
202 PRENIETH 3 41 2.3
203 PRENIETH 4 8 0.4
204 PRENIETH 2 2 0.1
205 PRENIETH 5 2 0.1
206 RELAKEY 11578 80783 41072 1 0.1
207 RELAKEY 12176 64211 36203 1 0.1
208 RELAKEY 13386 43025 26971 1 0.1
209 RELAKEY 14532 44959 27807 1 0.1
210 RELAKEY 15848 39049 25155 1 0.1
211 RELAKEY 16522 39262 25236 1 0.1
212 RELAKEY 16638 46838 28609 1 0.1
213 RELAKEY 16714 46888 28633 1 0.1
214 RELAKEY 17085 43442 27211 1 0.1
215 RELAKEY 17777 95738 44475 1 0.1
216 RELAKEY Other levles 1,786 99.4
217 REOP? 0 1,455 81.0
218 REOP? 1 341 19.0
219 REOP_DAT 1,455 81.0
220 REOP_DAT 23.08.2016 3 0.2
221 REOP_DAT 01.02.2013 2 0.1
222 REOP_DAT 08.06.2012 2 0.1
223 REOP_DAT 10.01.2019 2 0.1
224 REOP_DAT 12.11.2019 2 0.1
225 REOP_DAT 14.10.2014 2 0.1
226 REOP_DAT 17.04.2020 2 0.1
227 REOP_DAT 17.09.2015 2 0.1
228 REOP_DAT 19.03.2014 2 0.1
Table 9: Top 10 levels of categorical variables (continued)
variables levels freq ratio (%)
229 REOP_DAT Other levles 322 17.9
230 REOP_DAT2 1,684 93.8
231 REOP_DAT2 07.06.2012 2 0.1
232 REOP_DAT2 01.07.2016 1 0.1
233 REOP_DAT2 02.03.2018 1 0.1
234 REOP_DAT2 02.05.2018 1 0.1
235 REOP_DAT2 02.07.2020 1 0.1
236 REOP_DAT2 02.07.2021 1 0.1
237 REOP_DAT2 02.09.2013 1 0.1
238 REOP_DAT2 02.10.2013 1 0.1
239 REOP_DAT2 02.11.2014 1 0.1
240 REOP_DAT2 Other levles 102 5.7
241 REOP_DAT3 1,743 97.0
242 REOP_DAT3 01.05.2016 1 0.1
243 REOP_DAT3 01.11.2014 1 0.1
244 REOP_DAT3 01.12.2016 1 0.1
245 REOP_DAT3 02.08.2012 1 0.1
246 REOP_DAT3 02.11.2020 1 0.1
247 REOP_DAT3 02.12.2016 1 0.1
248 REOP_DAT3 03.03.2014 1 0.1
249 REOP_DAT3 03.05.2011 1 0.1
250 REOP_DAT3 04.02.2020 1 0.1
251 REOP_DAT3 Other levles 44 2.4
252 REOP_DAT4 1,765 98.3
253 REOP_DAT4 03.04.2020 1 0.1
254 REOP_DAT4 03.05.2011 1 0.1
255 REOP_DAT4 03.05.2016 1 0.1
256 REOP_DAT4 04.12.2016 1 0.1
257 REOP_DAT4 05.12.2016 1 0.1
Table 9: Top 10 levels of categorical variables (continued)
variables levels freq ratio (%)
258 REOP_DAT4 06.05.2011 1 0.1
259 REOP_DAT4 06.11.2014 1 0.1
260 REOP_DAT4 06.12.2016 1 0.1
261 REOP_DAT4 06.12.2019 1 0.1
262 REOP_DAT4 Other levles 22 1.2
263 REOP_DAT5 1,772 98.7
264 REOP_DAT5 02.10.2014 1 0.1
265 REOP_DAT5 03.02.2017 1 0.1
266 REOP_DAT5 03.07.2015 1 0.1
267 REOP_DAT5 04.05.2016 1 0.1
268 REOP_DAT5 04.12.2016 1 0.1
269 REOP_DAT5 07.05.2011 1 0.1
270 REOP_DAT5 08.05.2011 1 0.1
271 REOP_DAT5 11.12.2016 1 0.1
272 REOP_DAT5 12.05.2017 1 0.1
273 REOP_DAT5 Other levles 15 0.8
274 REOP_EING2 1,684 93.8
275 REOP_EING2 Extrakardiale Eingriffe ohne HLM 52 2.9
276 REOP_EING2 Rethorakotomie ohne HLM 24 1.3
277 REOP_EING2 Schrittmacher: Implantation 2-Kammer-System ohne HLM 6 0.3
278 REOP_EING2 Schrittmacher: Implantation 1-Kammer-System ohne HLM 5 0.3
279 REOP_EING2 Schrittmacher: Revision 2-Kammer-System ohne HLM 5 0.3
280 REOP_EING2 Perikarddrainage 2 0.1
281 REOP_EING2 Sonstige Operationen am Herzen ohne HLM 2 0.1
282 REOP_EING2 AKE + MKE: mediane Sternotomie 1 0.1
283 REOP_EING2 AKE + MKR: mediane Sternotomie 1 0.1
284 REOP_EING2 Other levles 14 0.8
285 REOP_EING3 1,743 97.0
286 REOP_EING3 Extrakardiale Eingriffe ohne HLM 31 1.7
Table 9: Top 10 levels of categorical variables (continued)
variables levels freq ratio (%)
287 REOP_EING3 Rethorakotomie ohne HLM 11 0.6
288 REOP_EING3 Aortenklappe Xenotransplantat: mediane Sternotomie 2 0.1
289 REOP_EING3 Pleuradrainage 2 0.1
290 REOP_EING3 Aorten- ,Mitral- und Trikuspidalklappe: mediane Sternotomie 1 0.1
291 REOP_EING3 Defibrillator: Implantation 1-Kammer-System ohne HLM 1 0.1
292 REOP_EING3 Mitralklappe Rekonstruktion: minimalinvasiv 1 0.1
293 REOP_EING3 Mitralklappe Xenotransplantat: minimalinvasiv 1 0.1
294 REOP_EING3 Schrittmacher: Implantation 1-Kammer-System ohne HLM 1 0.1
295 REOP_EING3 Other levles 2 0.1
296 REOP_EING4 1,765 98.3
297 REOP_EING4 Extrakardiale Eingriffe ohne HLM 27 1.5
298 REOP_EING4 AKE + MKE: mediane Sternotomie 1 0.1
299 REOP_EING4 Aortenklappe Xenotransplantat: mediane Sternotomie 1 0.1
300 REOP_EING4 Rethorakotomie ohne HLM 1 0.1
301 REOP_EING4 Schrittmacher: Implantation 2-Kammer-System ohne HLM 1 0.1
302 REOP_EING5 1,772 98.7
303 REOP_EING5 Extrakardiale Eingriffe ohne HLM 18 1.0
304 REOP_EING5 Rethorakotomie ohne HLM 2 0.1
305 REOP_EING5 Sekundärer Thoraxverschluss ohne HLM 2 0.1
306 REOP_EING5 Mitralklappe Kunstprothese: minimalinvasiv 1 0.1
307 REOP_EING5 Pleuradrainage 1 0.1
308 REOP_EINGR 1,455 81.0
309 REOP_EINGR Extrakardiale Eingriffe ohne HLM 102 5.7
310 REOP_EINGR Rethorakotomie ohne HLM 71 4.0
311 REOP_EINGR Schrittmacher: Implantation 2-Kammer-System ohne HLM 55 3.1
312 REOP_EINGR Aortenklappe Xenotransplantat: mediane Sternotomie 22 1.2
313 REOP_EINGR AKE + MKE: mediane Sternotomie 11 0.6
314 REOP_EINGR Schrittmacher: Implantation 1-Kammer-System ohne HLM 9 0.5
315 REOP_EINGR Aorten- ,Mitral- und Trikuspidalklappe: mediane Sternotomie 6 0.3
Table 9: Top 10 levels of categorical variables (continued)
variables levels freq ratio (%)
316 REOP_EINGR Ersatz der Aorta ascendens infrakoronar mit Rohrprothese und Reimplantation der Koronararterien mit HLM 5 0.3
317 REOP_EINGR Perikarddrainage 5 0.3
318 REOP_EINGR Other levles 55 3.1
319 REOP_RELA 1,455 81.0
320 REOP_RELA 13386 95381 44384 1 0.1
321 REOP_RELA 20958 37304 24316 1 0.1
322 REOP_RELA 21303 53732 31737 1 0.1
323 REOP_RELA 21510 37018 24149 1 0.1
324 REOP_RELA 21635 37000 24230 1 0.1
325 REOP_RELA 21726 37959 24583 1 0.1
326 REOP_RELA 21843 37578 24455 1 0.1
327 REOP_RELA 21878 37366 24318 1 0.1
328 REOP_RELA 21995 38043 24629 1 0.1
329 REOP_RELA Other levles 332 18.5
330 REOP_THG2 1,684 93.8
331 REOP_THG2 102.2 52 2.9
332 REOP_THG2 99.2 24 1.3
333 REOP_THG2 61.22 6 0.3
334 REOP_THG2 61.21 5 0.3
335 REOP_THG2 63.22 5 0.3
336 REOP_THG2 53.21 2 0.1
337 REOP_THG2 ZE.010 2 0.1
338 REOP_THG2 1.1 1 0.1
339 REOP_THG2 104.2 1 0.1
340 REOP_THG2 Other levles 14 0.8
341 REOP_THGNR 1,455 81.0
342 REOP_THGNR 102.2 102 5.7
343 REOP_THGNR 99.2 71 4.0
344 REOP_THGNR 61.22 55 3.1
Table 9: Top 10 levels of categorical variables (continued)
variables levels freq ratio (%)
345 REOP_THGNR 2.1 22 1.2
346 REOP_THGNR 17.1 11 0.6
347 REOP_THGNR 61.21 9 0.5
348 REOP_THGNR 28.1 6 0.3
349 REOP_THGNR 42E.1 5 0.3
350 REOP_THGNR 53.21 5 0.3
351 REOP_THGNR Other levles 55 3.1
352 SCHMERZEN 1 343 19.1
353 SCHMERZEN 2 218 12.1
354 SCHMERZEN 3 139 7.7
355 SCHMERZEN 4 36 2.0
356 SCHMERZEN 5 4 0.2
357 SCHMERZEN Missing 1,056 58.8
358 SELBST_SORGEN 1 587 32.7
359 SELBST_SORGEN 2 78 4.3
360 SELBST_SORGEN 3 39 2.2
361 SELBST_SORGEN 4 22 1.2
362 SELBST_SORGEN 5 12 0.7
363 SELBST_SORGEN Missing 1,058 58.9
364 SMTRAEGER 0 1,644 91.5
365 SMTRAEGER 1 85 4.7
366 SMTRAEGER Missing 67 3.7
367 SM_INTRAOP 1 1,296 72.2
368 SM_INTRAOP 0 497 27.7
369 SM_INTRAOP Missing 3 0.2
370 STERBEDAT 1,446 80.5
371 STERBEDAT unbekannt 22 1.2
372 STERBEDAT 2017 5 0.3
373 STERBEDAT 2020 5 0.3
Table 9: Top 10 levels of categorical variables (continued)
variables levels freq ratio (%)
374 STERBEDAT 2016 3 0.2
375 STERBEDAT 2018 3 0.2
376 STERBEDAT 2019 3 0.2
377 STERBEDAT 01.01.2020 2 0.1
378 STERBEDAT 02.04.2019 2 0.1
379 STERBEDAT 02.05.2019 2 0.1
380 STERBEDAT Other levles 303 16.9
381 SVD (VARC3) 1,738 96.8
382 SVD (VARC3) 0 35 1.9
383 SVD (VARC3) #ЗНАЧ! 15 0.8
384 SVD (VARC3) 2 4 0.2
385 SVD (VARC3) 3 4 0.2
386 Signs of SVD 0 595 33.1
387 Signs of SVD 1 73 4.1
388 Signs of SVD Missing 1,128 62.8
389 THG_NR 2.1 517 28.8
390 THG_NR 31.4 240 13.4
391 THG_NR 2.2 238 13.3
392 THG_NR 32.4 169 9.4
393 THG_NR 43.1 137 7.6
394 THG_NR 33.4 92 5.1
395 THG_NR 28.1 79 4.4
396 THG_NR 17.1 57 3.2
397 THG_NR 18.1 53 3.0
398 THG_NR 44.1 43 2.4
399 THG_NR Other levles 171 9.5
400 UPSIZING 1 1,034 57.6
401 UPSIZING 0 495 27.6
402 UPSIZING Missing 267 14.9
Table 9: Top 10 levels of categorical variables (continued)
variables levels freq ratio (%)
403 VERSTORBEN 0 1,444 80.4
404 VERSTORBEN 1 352 19.6

Numerical Variable Diagnosis

Distributions

Table 10: General list of numerical diagnosis
variables min Q1 mean median Q3 max zero minus outlier
ALTER_OP 2.80000e+01 64.00 69.69 71.00 76.00 90.00 0 0 18
MORTALITÄT(TAGE) 0.00000e+00 6.00 637.97 49.50 1,108.50 3,519.00 10 0 16
GROESSE 0.00000e+00 168.00 172.42 173.00 178.00 200.00 2 0 23
GEWICHT 0.00000e+00 74.00 84.90 83.00 94.00 187.00 2 0 31
BMI 0.00000e+00 25.06 28.49 27.85 31.22 64.71 1 0 33
FALLNR 1.10029e+08 130,081,587.00 153,500,053.62 150,244,426.50 180,040,400.75 210,314,585.00 0 0 0
BG_DIABET 0.00000e+00 1.00 1.80 1.00 3.00 8.00 62 0 15
A_HYPSYS 0.00000e+00 0.00 12.45 0.00 21.25 999.00 1,327 0 93
A_HYPTO_R 0.00000e+00 3.00 2.69 3.00 3.00 9.00 66 0 347
BG_HRHY_R 0.00000e+00 1.00 1.44 1.00 1.00 9.00 64 0 506
STS 0.00000e+00 1.38 3.80 2.34 4.22 70.64 72 0 155
OP_ANFANG 3.00000e-02 8.35 10.37 8.52 12.54 23.34 0 0 20
OP_ENDE 3.00000e-01 11.30 13.52 12.54 15.54 23.57 0 0 25
OP_ZEIT 7.10000e+01 151.00 198.36 181.00 225.00 933.00 0 0 79
BYPASSZEIT 0.00000e+00 82.00 109.79 104.00 130.00 380.00 38 0 96
AORTENKLEMMZEIT 0.00000e+00 54.00 71.36 68.00 85.00 266.00 19 0 69
AK_MOD 1.16000e+02 116.00 116.00 116.00 116.00 116.00 0 0 0
AK_DURCHM 2.10000e+01 25.00 25.88 25.00 27.00 29.00 0 0 24
AK_ANN 1.30000e+01 23.00 24.62 25.00 26.00 32.00 0 0 7
E_RHYTHM 0.00000e+00 1.00 1.87 1.00 1.00 9.00 56 0 487
E_RHYTH 0.00000e+00 1.00 1.87 1.00 1.00 9.00 56 0 487
REOP_THG3 2.10000e+00 99.20 89.18 102.20 102.20 102.20 0 0 9
REOP_THG4 6.12200e+01 102.20 2,946.16 102.20 102.20 44,213.00 0 0 4
REOP_THG5 9.92000e+01 102.20 2,020.80 102.20 102.20 44,232.00 0 0 5
LVEF…74 1.20000e+01 47.00 55.41 57.00 65.00 91.00 0 0 12
Table 10: General list of numerical diagnosis (continued)
variables min Q1 mean median Q3 max zero minus outlier
26 LVDd (cm)…75 1.80 4.70 5.54 5.30 6.00 62.0 0 0 17
27 LVDs (cm)…76 1.50 2.88 3.66 3.45 4.30 8.7 0 0 9
28 LVOT…77 1.00 2.10 2.51 2.30 2.40 26.6 0 0 23
29 PAP (mmHg+ZVD)…78 3.00 21.00 29.50 27.00 36.00 90.0 0 0 26
30 IVSd (cm) 0.70 1.30 1.52 1.50 1.70 13.0 0 0 12
31 IVSs (cm) 0.90 1.60 1.88 1.80 2.00 24.0 0 0 23
32 MAVG (MPG) 1.00 24.75 38.21 39.00 51.00 111.0 0 0 5
33 Vmax (m/s)…82 0.41 3.20 3.91 4.00 4.50 60.0 0 0 14
34 AKFläche (cm2) 0.10 0.70 0.97 0.85 1.10 5.9 0 0 48
35 Bikuspid? 0.00 0.00 0.27 0.00 0.00 9.0 1,360 0 434
36 LVEF…87 16.00 48.00 55.77 56.00 65.00 92.0 0 0 7
37 LVDd 3.00 4.50 5.18 5.10 5.70 42.0 0 0 14
38 LVDs 1.40 2.90 3.56 3.40 4.10 8.2 0 0 11
39 LVOT…90 1.30 2.20 2.30 2.30 2.40 21.0 0 0 63
40 PAP 3.00 18.00 23.72 23.00 29.00 73.0 0 0 14
41 IVSd…92 0.70 1.30 1.48 1.40 1.60 7.4 0 0 44
42 MAVG 1.00 9.00 12.04 11.00 14.00 111.0 0 0 60
43 Vmax 0.70 2.00 2.32 2.30 2.50 31.0 0 0 43
44 AKFläche 0.00 1.70 2.13 2.00 2.42 5.7 3 0 27
45 EF (%) 13.00 51.00 57.36 60.00 65.00 87.0 0 0 18
46 LVDd (cm)…99 2.70 4.60 5.06 5.00 5.50 9.6 0 0 10
47 LVDs (cm)…100 1.70 2.90 11.06 3.60 5.50 68.0 0 0 44
48 LVOT…101 1.70 2.10 8.31 2.30 2.50 291.0 0 0 16
49 PAP (mmHg+ZVD)…102 9.00 25.00 31.62 30.00 37.00 82.0 0 0 11
50 MPG (mmHg) 1.00 9.00 24.25 12.00 17.00 1,335.0 0 0 30
51 Vmax (m/s)…105 0.90 2.10 29.52 2.50 17.50 453.0 0 0 52
52 DAYS_FU 7.00 475.75 1,412.67 1,287.00 2,197.25 3,790.0 0 0 0
53 MONTHS_FU 0.00 15.00 45.92 42.00 72.00 124.0 30 0 0
54 YEARS_FU 0.00 1.00 3.39 3.00 6.00 10.0 167 0 0

Zero Values

Table 11: List of numerical diagnosis (zero)
variables min median max zero zero (%)
Bikuspid? 0 0.00 9.00 1,360 75.7
A_HYPSYS 0 0.00 999.00 1,327 73.9
YEARS_FU 0 3.00 10.00 167 9.3
STS 0 2.34 70.64 72 4.0
A_HYPTO_R 0 3.00 9.00 66 3.7
BG_HRHY_R 0 1.00 9.00 64 3.6
BG_DIABET 0 1.00 8.00 62 3.5
E_RHYTHM 0 1.00 9.00 56 3.1
E_RHYTH 0 1.00 9.00 56 3.1
BYPASSZEIT 0 104.00 380.00 38 2.1
MONTHS_FU 0 42.00 124.00 30 1.7
AORTENKLEMMZEIT 0 68.00 266.00 19 1.1
MORTALITÄT(TAGE) 0 49.50 3,519.00 10 0.6
AKFläche 0 2.00 5.70 3 0.2
GROESSE 0 173.00 200.00 2 0.1
GEWICHT 0 83.00 187.00 2 0.1
BMI 0 27.85 64.71 1 0.1

Negative Values

No numeric variable with negative value

Outliers

List of Outliers

Table 12: Diagnosis of numerical variable outliers
variables min median max outlier outlier (%)
BG_HRHY_R 0.0 1.00 9.00 506 28.2
E_RHYTHM 0.0 1.00 9.00 487 27.1
E_RHYTH 0.0 1.00 9.00 487 27.1
Bikuspid? 0.0 0.00 9.00 434 24.2
A_HYPTO_R 0.0 3.00 9.00 347 19.3
STS 0.0 2.34 70.64 155 8.6
BYPASSZEIT 0.0 104.00 380.00 96 5.3
A_HYPSYS 0.0 0.00 999.00 93 5.2
OP_ZEIT 71.0 181.00 933.00 79 4.4
AORTENKLEMMZEIT 0.0 68.00 266.00 69 3.8
LVOT…90 1.3 2.30 21.00 63 3.5
MAVG 1.0 11.00 111.00 60 3.3
Vmax (m/s)…105 0.9 2.50 453.00 52 2.9
AKFläche (cm2) 0.1 0.85 5.90 48 2.7
IVSd…92 0.7 1.40 7.40 44 2.4
LVDs (cm)…100 1.7 3.60 68.00 44 2.4
Vmax 0.7 2.30 31.00 43 2.4
BMI 0.0 27.85 64.71 33 1.8
GEWICHT 0.0 83.00 187.00 31 1.7
MPG (mmHg) 1.0 12.00 1,335.00 30 1.7
AKFläche 0.0 2.00 5.70 27 1.5
PAP (mmHg+ZVD)…78 3.0 27.00 90.00 26 1.4
OP_ENDE 0.3 12.54 23.57 25 1.4
AK_DURCHM 21.0 25.00 29.00 24 1.3
GROESSE 0.0 173.00 200.00 23 1.3
Table 12: Diagnosis of numerical variable outliers (continued)
variables min median max outlier outlier (%)
26 LVOT…77 1.00 2.30 26.60 23 1.3
27 IVSs (cm) 0.90 1.80 24.00 23 1.3
28 OP_ANFANG 0.03 8.52 23.34 20 1.1
29 ALTER_OP 28.00 71.00 90.00 18 1.0
30 EF (%) 13.00 60.00 87.00 18 1.0
31 LVDd (cm)…75 1.80 5.30 62.00 17 0.9
32 MORTALITÄT(TAGE) 0.00 49.50 3,519.00 16 0.9
33 LVOT…101 1.70 2.30 291.00 16 0.9
34 BG_DIABET 0.00 1.00 8.00 15 0.8
35 Vmax (m/s)…82 0.41 4.00 60.00 14 0.8
36 LVDd 3.00 5.10 42.00 14 0.8
37 PAP 3.00 23.00 73.00 14 0.8
38 LVEF…74 12.00 57.00 91.00 12 0.7
39 IVSd (cm) 0.70 1.50 13.00 12 0.7
40 LVDs 1.40 3.40 8.20 11 0.6
41 PAP (mmHg+ZVD)…102 9.00 30.00 82.00 11 0.6
42 LVDd (cm)…99 2.70 5.00 9.60 10 0.6
43 REOP_THG3 2.10 102.20 102.20 9 0.5
44 LVDs (cm)…76 1.50 3.45 8.70 9 0.5
45 AK_ANN 13.00 25.00 32.00 7 0.4
46 LVEF…87 16.00 56.00 92.00 7 0.4
47 REOP_THG5 99.20 102.20 44,232.00 5 0.3
48 MAVG (MPG) 1.00 39.00 111.00 5 0.3
49 REOP_THG4 61.22 102.20 44,213.00 4 0.2

Individual Outliers

variable: BG_HRHY_R

Table 13: BG_HRHY_R
Measures Values
Outliers count 506
Outliers ratio (%) 28.17%
Mean of outliers 2.563241
Mean with outliers 1.440423
Mean without outliers 1


variable: E_RHYTHM

Table 13: E_RHYTHM
Measures Values
Outliers count 487
Outliers ratio (%) 27.12%
Mean of outliers 4.190965
Mean with outliers 1.865256
Mean without outliers 1


variable: E_RHYTH

Table 13: E_RHYTH
Measures Values
Outliers count 487
Outliers ratio (%) 27.12%
Mean of outliers 4.190965
Mean with outliers 1.865256
Mean without outliers 1


variable: Bikuspid?

Table 13: Bikuspid?
Measures Values
Outliers count 434
Outliers ratio (%) 24.16%
Mean of outliers 1.110599
Mean with outliers 0.2686734
Mean without outliers 0


variable: A_HYPTO_R

Table 13: A_HYPTO_R
Measures Values
Outliers count 347
Outliers ratio (%) 19.32%
Mean of outliers 1.397695
Mean with outliers 2.690423
Mean without outliers 3


variable: STS

Table 13: STS
Measures Values
Outliers count 155
Outliers ratio (%) 8.63%
Mean of outliers 16.47798
Mean with outliers 3.799093
Mean without outliers 2.601514


variable: BYPASSZEIT

Table 13: BYPASSZEIT
Measures Values
Outliers count 96
Outliers ratio (%) 5.35%
Mean of outliers 149.7812
Mean with outliers 109.7906
Mean without outliers 107.5324


variable: A_HYPSYS

Table 13: A_HYPSYS
Measures Values
Outliers count 93
Outliers ratio (%) 5.18%
Mean of outliers 87.10753
Mean with outliers 12.44543
Mean without outliers 8.368174


variable: OP_ZEIT

Table 13: OP_ZEIT
Measures Values
Outliers count 79
Outliers ratio (%) 4.4%
Mean of outliers 436.9494
Mean with outliers 198.3636
Mean without outliers 187.3861


variable: AORTENKLEMMZEIT

Table 13: AORTENKLEMMZEIT
Measures Values
Outliers count 69
Outliers ratio (%) 3.84%
Mean of outliers 115.6957
Mean with outliers 71.36247
Mean without outliers 69.5912


variable: LVOT…90

Table 13: LVOT…90
Measures Values
Outliers count 63
Outliers ratio (%) 3.51%
Mean of outliers 2.706349
Mean with outliers 2.304067
Mean without outliers 2.275781


variable: MAVG

Table 13: MAVG
Measures Values
Outliers count 60
Outliers ratio (%) 3.34%
Mean of outliers 26.775
Mean with outliers 12.04485
Mean without outliers 11.38579


variable: Vmax (m/s)…105

Table 13: Vmax (m/s)…105
Measures Values
Outliers count 52
Outliers ratio (%) 2.9%
Mean of outliers 233.6154
Mean with outliers 29.51943
Mean without outliers 6.397451


variable: AKFläche (cm2)

Table 13: AKFläche (cm2)
Measures Values
Outliers count 48
Outliers ratio (%) 2.67%
Mean of outliers 2.801875
Mean with outliers 0.9734483
Mean without outliers 0.8540408


variable: IVSd…92

Table 13: IVSd…92
Measures Values
Outliers count 44
Outliers ratio (%) 2.45%
Mean of outliers 2.231818
Mean with outliers 1.475228
Mean without outliers 1.44


variable: LVDs (cm)…100

Table 13: LVDs (cm)…100
Measures Values
Outliers count 44
Outliers ratio (%) 2.45%
Mean of outliers 35.88636
Mean with outliers 11.06471
Mean without outliers 3.427273


variable: Vmax

Table 13: Vmax
Measures Values
Outliers count 43
Outliers ratio (%) 2.39%
Mean of outliers 4.212791
Mean with outliers 2.318108
Mean without outliers 2.256152


variable: BMI

Table 13: BMI
Measures Values
Outliers count 33
Outliers ratio (%) 1.84%
Mean of outliers 43.35288
Mean with outliers 28.48952
Mean without outliers 28.21115


variable: GEWICHT

Table 13: GEWICHT
Measures Values
Outliers count 31
Outliers ratio (%) 1.73%
Mean of outliers 126.0323
Mean with outliers 84.89978
Mean without outliers 84.17734


variable: MPG (mmHg)

Table 13: MPG (mmHg)
Measures Values
Outliers count 30
Outliers ratio (%) 1.67%
Mean of outliers 203.5233
Mean with outliers 24.24978
Mean without outliers 12.53255


variable: AKFläche

Table 13: AKFläche
Measures Values
Outliers count 27
Outliers ratio (%) 1.5%
Mean of outliers 3.55
Mean with outliers 2.12722
Mean without outliers 2.081865


variable: PAP (mmHg+ZVD)…78

Table 13: PAP (mmHg+ZVD)…78
Measures Values
Outliers count 26
Outliers ratio (%) 1.45%
Mean of outliers 64.03846
Mean with outliers 29.50081
Mean without outliers 27.98395


variable: OP_ENDE

Table 13: OP_ENDE
Measures Values
Outliers count 25
Outliers ratio (%) 1.39%
Mean of outliers 12.8504
Mean with outliers 13.5243
Mean without outliers 13.53381


variable: AK_DURCHM

Table 13: AK_DURCHM
Measures Values
Outliers count 24
Outliers ratio (%) 1.34%
Mean of outliers 21
Mean with outliers 25.87528
Mean without outliers 25.94131


variable: GROESSE

Table 13: GROESSE
Measures Values
Outliers count 23
Outliers ratio (%) 1.28%
Mean of outliers 148.7826
Mean with outliers 172.4226
Mean without outliers 172.7293


variable: LVOT…77

Table 13: LVOT…77
Measures Values
Outliers count 23
Outliers ratio (%) 1.28%
Mean of outliers 9.552174
Mean with outliers 2.510185
Mean without outliers 2.25104


variable: IVSs (cm)

Table 13: IVSs (cm)
Measures Values
Outliers count 23
Outliers ratio (%) 1.28%
Mean of outliers 3.282609
Mean with outliers 1.882437
Mean without outliers 1.822243


variable: OP_ANFANG

Table 13: OP_ANFANG
Measures Values
Outliers count 20
Outliers ratio (%) 1.11%
Mean of outliers 16.8485
Mean with outliers 10.36738
Mean without outliers 10.2944


variable: ALTER_OP

Table 13: ALTER_OP
Measures Values
Outliers count 18
Outliers ratio (%) 1%
Mean of outliers 39.5
Mean with outliers 69.69154
Mean without outliers 69.99719


variable: EF (%)

Table 13: EF (%)
Measures Values
Outliers count 18
Outliers ratio (%) 1%
Mean of outliers 26.38889
Mean with outliers 57.35759
Mean without outliers 58.24522


variable: LVDd (cm)…75

Table 13: LVDd (cm)…75
Measures Values
Outliers count 17
Outliers ratio (%) 0.95%
Mean of outliers 13.84118
Mean with outliers 5.543544
Mean without outliers 5.345148


variable: MORTALITÄT(TAGE)

Table 13: MORTALITÄT(TAGE)
Measures Values
Outliers count 16
Outliers ratio (%) 0.89%
Mean of outliers 3150.562
Mean with outliers 637.9696
Mean without outliers 494.3929


variable: LVOT…101

Table 13: LVOT…101
Measures Values
Outliers count 16
Outliers ratio (%) 0.89%
Mean of outliers 38.75
Mean with outliers 8.308333
Mean without outliers 2.22


variable: BG_DIABET

Table 13: BG_DIABET
Measures Values
Outliers count 15
Outliers ratio (%) 0.84%
Mean of outliers 8
Mean with outliers 1.800668
Mean without outliers 1.748456


variable: Vmax (m/s)…82

Table 13: Vmax (m/s)…82
Measures Values
Outliers count 14
Outliers ratio (%) 0.78%
Mean of outliers 9.286429
Mean with outliers 3.909965
Mean without outliers 3.82025


variable: LVDd

Table 13: LVDd
Measures Values
Outliers count 14
Outliers ratio (%) 0.78%
Mean of outliers 10.87857
Mean with outliers 5.182694
Mean without outliers 5.10319


variable: PAP

Table 13: PAP
Measures Values
Outliers count 14
Outliers ratio (%) 0.78%
Mean of outliers 52.07143
Mean with outliers 23.7165
Mean without outliers 23.34585


variable: LVEF…74

Table 13: LVEF…74
Measures Values
Outliers count 12
Outliers ratio (%) 0.67%
Mean of outliers 15.75
Mean with outliers 55.41471
Mean without outliers 55.75764


variable: IVSd (cm)

Table 13: IVSd (cm)
Measures Values
Outliers count 12
Outliers ratio (%) 0.67%
Mean of outliers 3.741667
Mean with outliers 1.521217
Mean without outliers 1.483314


variable: LVDs

Table 13: LVDs
Measures Values
Outliers count 11
Outliers ratio (%) 0.61%
Mean of outliers 6.518182
Mean with outliers 3.564801
Mean without outliers 3.504972


variable: PAP (mmHg+ZVD)…102

Table 13: PAP (mmHg+ZVD)…102
Measures Values
Outliers count 11
Outliers ratio (%) 0.61%
Mean of outliers 62.81818
Mean with outliers 31.62195
Mean without outliers 30.53943


variable: LVDd (cm)…99

Table 13: LVDd (cm)…99
Measures Values
Outliers count 10
Outliers ratio (%) 0.56%
Mean of outliers 6.12
Mean with outliers 5.064848
Mean without outliers 5.039666


variable: REOP_THG3

Table 13: REOP_THG3
Measures Values
Outliers count 9
Outliers ratio (%) 0.5%
Mean of outliers 32.06111
Mean with outliers 89.17549
Mean without outliers 101.4143


variable: LVDs (cm)…76

Table 13: LVDs (cm)…76
Measures Values
Outliers count 9
Outliers ratio (%) 0.5%
Mean of outliers 7.177778
Mean with outliers 3.66285
Mean without outliers 3.587351


variable: AK_ANN

Table 13: AK_ANN
Measures Values
Outliers count 7
Outliers ratio (%) 0.39%
Mean of outliers 28.85714
Mean with outliers 24.61609
Mean without outliers 24.59658


variable: LVEF…87

Table 13: LVEF…87
Measures Values
Outliers count 7
Outliers ratio (%) 0.39%
Mean of outliers 28.85714
Mean with outliers 55.76567
Mean without outliers 55.90396


variable: REOP_THG5

Table 13: REOP_THG5
Measures Values
Outliers count 5
Outliers ratio (%) 0.28%
Mean of outliers 8927.76
Mean with outliers 2020.8
Mean without outliers 102.2


variable: MAVG (MPG)

Table 13: MAVG (MPG)
Measures Values
Outliers count 5
Outliers ratio (%) 0.28%
Mean of outliers 98
Mean with outliers 38.2134
Mean without outliers 37.85193


variable: REOP_THG4

Table 13: REOP_THG4
Measures Values
Outliers count 4
Outliers ratio (%) 0.22%
Mean of outliers 22142.85
Mean with outliers 2946.155
Mean without outliers 102.2